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Purpose: The purpose of this cross-sectional evaluation was to determine the associations between raw bioelectrical impedance and cardiometabolic health parameters in a sample of young non-Hispanic White and African American adults. Methods: A total of 96 (female: 52, male: 44) non-Hispanic White (n = 45) and African American adults (n = 51) between the ages of 19 and 37 yr (22.7 ± 3.83 yr) completed several fasted assessments including resting systolic blood pressure (rSBP), blood glucose (FBG), blood lipids, and bioelectrical impedance spectroscopy. Bioelectrical impedance spectroscopy–derived measurements included phase angle, bioimpedance index (BI), impedance ratio (IR), reactance index (XCi), fat-free mass (FFM), FFM index (FFMi), and absolute (a) and relative (%) total body water (TBW) and extracellular (ECF) and intracellular fluid (ICF). All bioelectric variables were collected at 50 kHz other than IR (250 kHz/5 kHz). Multiple regressions were conducted and adjusted for sex, age, and body mass index. Results: rSBP was positively, and HDL was inversely, associated with all bioelectrical impedance and absolute hydration variables (all P ≤ 0.050) other than XCi for rSBP and XCi and FFMi for HDL. rSBP (P < 0.001) was inversely, and HDL (P = 0.034) was positively, associated with IR. FBG was positively associated with BI, XCi, FFM, TBWa, and ECFa (all P < 0.050). Metabolic syndrome severity was positively associated with BI, FFM, TBWa, and ECFa for women (all P ≤ 0.050) and with ICFa for African American women (P = 0.016). Conclusions: Given the rapid increase in the prevalence of cardiometabolic health risks among young adults and the broad use of bioelectrical impedance in practice, the conflicting associations we observed in this age group suggest that bioelectrical impedance parameters should be used with caution in the context of cardiometabolic health risks and age. [ABSTRACT FROM AUTHOR]

Purpose: This study investigates differences in American English consonants produced by patients who present with various dentofacial disharmonies (DFDs), including severe overbites (Class II), underbites (Class III), and anterior open bites. Previous studies have found that patients with these malocclusion types all produce lingual sibilants and plosives with increased spectral center of gravity and increased spectral variance relative to controls. This result is puzzling since some DFD groups differ from controls in opposite ways, and it is also difficult to interpret because spectral moment measures are affected by a wide range of speech and nonspeech factors. Method: To better understand the articulatory basis of these differences, we apply articulatorily interpretable spectral measures derived from multitaper spectra. Results: We find that all groups of DFD patients produce /s ʃ t tʃ/ with midfrequency spectral peaks that are less prominent than those of the control group, but peak frequency measures are largely the same across all groups. Conclusion: We conclude that the DFD patients differ more in sibilant noise source properties than in front cavity filter properties. [ABSTRACT FROM AUTHOR]

ObjectiveThis study examined the liking of fruits and vegetables among college students and the relationship between skin carotenoid levels and liking of fruits and vegetables. Participants: Sixty-six undergraduate students enrolled at a university in the southeastern United States participated in this study beginning August 2019. Methods: Skin carotenoid levels were measured using the Veggie Meter® reflection spectroscopy device. Liking of individual fruits and vegetables was measured using a hedonic general Labeled Magnitude Scale. Results: There were significant differences in mean skin carotenoid levels by year of study and age group. Students had a very strong liking for potatoes and pineapple. Veggie Meter scores and overall liking for fruits and vegetables were positively correlated. Conclusions: In order to encourage the consumption of fruits and vegetables, preferences for specific fruits and vegetables as well as accessibility should be considered to better serve and accommodate college students. [ABSTRACT FROM AUTHOR]

We conducted this study to quantify long-term cropping related changes in soil organic carbon (SOC) stocks and characterize the optical properties of dissolved organic matter (DOM) after a decadal on-farm experiment in Montana, USA. Soil samples (0–50 cm) were collected from minimum till (MT) and no-till (NT) fields under fallow-winter wheat (Triticum aestivum L.; F-W) and pea-winter wheat (Pisum sativum L.; P-W) rotations. Stocks of SOC (0–50 cm) averaged 65.6 Mg C ha−1 and 60.6 Mg C ha−1 for P-W and F-W, respectively. The net SOC accretion rate for P-W equated to 0.61 Mg ha−1 yr−1 relative to F-W. We used absorbance spectroscopy and excitation-emission matrices to characterize DOM composition of samples collected from MT F-W and NT P-W. The two cropping systems exhibited similar estimates of aromaticity (absorbance at 254 nm; 0.33–0.39 a.u.) and humification index (1.83–1.86). Parallel factor (PARAFAC) analysis revealed humic-like (C1, C2), monolignol/amino acid-like (C3), and amino acid-/tannin-like (C4) components with equivalent fluorescent intensities among MT F-W and NT P-W. Fluorescence efficiencies increased with depth, suggesting a shift from larger, plant-like material to smaller, microbial-derived precursors. Overall, we found DOM composition to be minimally affected by cropping systems in this semiarid climate of the northern Great Plains. • Annual cropping sequestered more SOC than fallow-based systems over a 10 year period. • The accretion of SOC within annual cropping occurred at a rate of 0.61 Mg ha−1 yr−1. • Soil DOM bulk optical properties did not respond to changes in decadal SOC stocks. • PARAFAC analysis identified four different fluorescent components of the EEMs. • Sub-soil DOM was comprised of low molecular size constituents. [ABSTRACT FROM AUTHOR]

Background: Individuals with fetal alcohol spectrum disorder (FASD) experience a range of cognitive, affective, and physical deficits following prenatal alcohol exposure. They are thought to be overrepresented in criminal justice settings. However, limited evidence is available to inform prevalence. We sought to estimate the prevalence of FASD in a Northern Canadian correctional population.Methods: Using an active case ascertainment approach we recruited a representative sample of 80 justice-involved adults (ages 18-40, 85% male) over an 18-month period from 2013 to 2015. Participants completed interdisciplinary clinical assessments comprising medical and psychological evaluations that adhered to the 2005 Canadian FASD Diagnostic Guidelines.Results: We identified a high rate of FASD (17.5, 95% CI [9.2, 25.8%]) in this sample, and this rate could have been as high as 31.2% with confirmation of prenatal alcohol exposure. Most participants in this study presented with significant neurodevelopmental and cognitive deficits in at least two domains of functioning, irrespective of diagnosis, with only five of 80 participants (6.3%) demonstrating no cognitive impairment.Conclusions: Findings showed disproportionately high estimated FASD prevalence in this representative sample compared to general population estimates in both Canada and the U.S. (2-5%), underscoring the need for improved FASD screening and diagnosis in correctional settings, and education for clinicians working in the justice context. Strengthened health prevention and intervention efforts to support the needs of individuals with FASD outside the criminal justice context are needed. [ABSTRACT FROM AUTHOR]

In this study, proton-transfer reaction mass spectrometry (PTR-MS) and near-infrared spectroscopy (NIRS) were compared for the authentication of geographical and farming system origins of Brazilian coffees. For this purpose, n = 19 organic (ORG) and n = 26 conventional (CONV) coffees from distinct producing regions were analyzed. Overall, differences (p ≤ 0.05) in 44 and 71 ion intensities were observed between the main producing regions and farming systems, respectively. Principal component analysis was not effective in illustrating differences between the coffees according to the farming system or geographical origin using neither PTR-MS nor NIRS data. However, when the PLS-DA was applied, which produced the best performing models compared to several other chemometric techniques, the farming system was adroitly differentiated. The fact that the classification performance (>80%) was independent of the data acquisition method used gives NIRS an edge over PTR-MS in the differentiation of the farming system because of its rapid analysis and cost. Differentiating geographic location of coffee was rather complex. The PTR-MS calibration models showed slightly better PLS-DA classification rates compared to the NIRS models (69% vs. 61%, respectively), which is even more evident when the alternative classifier is used (LDA-kNN, 69% vs. 39%, respectively). Coffee samples from either Minas Gerais (MG) or Sao Paulo (SP) were differentiated from the other regions. In conclusion, our study provides information on alternative rapid analysis coupled with chemometric techniques to differentiate the farming system and trace the geographical provenance of Brazilian specialty coffee. [ABSTRACT FROM AUTHOR]

Objective. To develop an optical spectral transmission (OST) model to measure joint inflammation, and thus disease activity, as well as to evaluate (patho-)physiological findings that could lead to misclassification of inflammation. Methods. Forty-six RA patients were included in this cross-sectional study, where US scores, duplicate OST measurements and 28-joint DAS (DAS28) were acquired. With US as a reference standard, the diagnostic performance of OST in detecting inflammation at the joint level was evaluated using receiver operating characteristic (ROC) curve analyses. At the patient level, correlations with US were analysed for DAS28 and OST, and at joint level for OST and tender and swollen joint counts (TJC and SJC, respectively). Joint pathology potentially influencing misclassification by OST [erosions, osteophytes, tendon (sheath) inflammation (ab)normal vasculature and chondrocalcinosis] was evaluated for significance in a multivariate nominal logistic regression model. Results. Diagnostic performance of OST was good for MCP [area under the ROC curve (AUC-ROC) 0.88], PIP (AUC-ROC 0.83) and wrist (AUC-ROC 0.74) joints and for all joints together (AUC-ROC 0.85). At the patient level, DAS28 correlated very poorly (p = 0.06) and OST moderately (p = 0.54) with US. At the joint level, US correlation with OST was strong (p = 0.64), with SJC it was weak (p = 0.30) and with TJC it was very weak (p =-0.02). Misclassification of inflammation by OST was relatively rare (17%). Dorsal erosions [odds ratio (OR) 4.0], osteophytes (OR 2.1) and extensor tendinitis (OR 4.6) increased the risk of underestimating inflammation of MCP and PIP joints and osteophytes (OR 3.0) also increased the risk of overestimating inflammation. Conclusion. OST is a sensitive, specific and objective technique to assess joints inflammation of the hands and wrists of RA patients, even though bone and tendon pathology increases the risk of misclassification. [ABSTRACT FROM AUTHOR]

This paper aims to advance a model able to explain the synchronization tendency in energy consumption, under the impact of international technology transfers. The key argument is related to the differences in energy consumption efficiency of local and foreign technologies. One direct testable consequence of the model is that there might be a certain correlation between the energy consumption between countries and/or economic areas where a free movement of capital goods and technologies takes place. Hence, it is further tested, in the framework of a multivariate spectrum analysis, the case of energy consumption synchronization between Europe and, respectively, United States and Japan for a time span between 1981 and 2011 based on the data provided by U.S. Energy Information Administration. There are evidences of a leading behavior of energy consumption in United States and Japan in respect to Europe as well as of short-run phase delays of 2 up to 5 months. [ABSTRACT FROM AUTHOR]

The relationship between gold and US dollar series, which are non-stationary, is commonly known to be negative from a periodic perspective. Is this really the case? This paper established a combined iteration algorithm using the theory of spectral analysis after subtracting the trend using penalized B-spline functions to obtain the implicit cycles in gold and US dollar series. This algorithm accurately separates the trend terms and periodic terms of the two series to produce more precise and complete periodic information. The results show that both series share three common implicit cycles: two long periods and one short one. Both long-period terms are negatively correlated, whereas the short-period terms are positively correlated. [ABSTRACT FROM AUTHOR]

Objectives: To assess the extent of lead content of sindoor, a powder used by Hindus for religious and cultural purposes, which has been linked to childhood lead poisoning when inadvertently ingested. Methods: We purchased 95 samples of sindoor from 66 South Asian stores in New Jersey and 23 samples from India and analyzed samples with atomic absorption spectrophotometry methods for lead. Results: Analysis determined that 79 (83.2%) sindoor samples purchased in the United States and 18 (78.3%) samples purchased in India contained 1.0 ormoremicrograms of lead per gram of powder. ForUS samples, geometric mean concentration was 5.4micrograms per gramcompared with 28.1microgramsper gram for Indiasamples. Themaximumlead content detected in both US and India samples was more than 300 000 micrograms per gram. Of the examined USsindoor samples,19%containedmore than 20micrograms per gram of lead (US Food and Drug Administration [FDA] limit); 43% of the India samples exceeded this limit. Conclusions: Results suggested continued need for lead monitoring in sindoor in the United States and in sindoor carried into the United States by travelers from India, despite FDA warnings. [ABSTRACT FROM AUTHOR]

Management of smoke from prescribed fires requires knowledge of fuel quantity and the amount and composition of the smoke produced by the fire to minimize adverse impacts on human health. A five-year study produced new emissions information for more than 100 trace gases and particulate matter in smoke for fuel types found in the southern United States of America using state-of-the-art instrumentation in both laboratory and field experiments. Emission factors for flaming, smoldering, and residual smoldering were developed. Agreement between laboratory and field-derived emission factors was generally good in most cases. Reference spectra of over 50 wildland fire gas-phase smoke components were added to a publicly-available database to support identification via infrared spectroscopy. Fuel loading for the field experiments was similar to previously measured fuels. This article summarizes the results of a five-year study to better understand the composition of smoke during all phases of burning for such forests. [ABSTRACT FROM AUTHOR]

The current measurement method for occupational exposure to wood dust is by gravimetric analysis and is thus non-specific. In this work, diffuse reflection infrared Fourier transform spectroscopy (DRIFTS) for the analysis of only the wood component of dust was further evaluated by analysis of the same samples between two laboratories. Field samples were collected from six wood product factories using 25-mm glass fiber filters with the Button aerosol sampler. Gravimetric mass was determined in one laboratory by weighing the filters before and after aerosol collection. Diffuse reflection mid-infrared spectra were obtained from the wood dust on the filter which is placed on a motorized stage inside the spectrometer. The metric used for the DRIFTS analysis was the intensity of the carbonyl band in cellulose and hemicellulose at ~1735 cm-1. Calibration curves were constructed separately in both laboratories using the same sets of prepared filters from the inhalable sampling fraction of red oak, southern yellow pine, and western red cedar in the range of 0.125-4mg of wood dust. Using the same procedure in both laboratories to build the calibration curve and analyze the field samples, 62.3% of the samples measured within 25% of the average result with a mean difference between the laboratories of 18.5%. Some observations are included as to how the calibration and analysis can be improved. In particular, determining the wood type on each sample to allow matching to the most appropriate calibration increases the apparent proportion of wood dust in the sample and this likely provides more realistic DRIFTS results. [ABSTRACT FROM AUTHOR]

Summary Most studies on evaluating the potential in developing seasonal to interannual hydroclimatic forecasts have focused on associating low-frequency climatic conditions with basin-level precipitation/streamflow. The motivation of this study is to provide an understanding on how land surface characteristics modulate the low-frequency (interannual to decadal) variability in precipitation to develop low-frequency signal in streamflow. For this purpose, we consider basins with minimum anthropogenic impacts over southeastern United States and apply Singular Spectrum Analysis (SSA), a data-driven spectrum analysis tool, on annual precipitation and streamflow time series for detecting the dominant frequencies and for estimating the associated variability with them. Hypothesis test against an AR(1) process is carried out via Monte Carlo SSA for detecting significant (at 90% confidence level) low-frequency oscillations. Thus, the study investigates how the observed low-frequency oscillations in precipitation/streamflow vary over the southeastern United States and also their associations with climatic conditions. For most study basins, precipitation exhibits higher low-frequency oscillations than that of streamflow primarily due to reduction in variability by basin storage. Investigating this further, we found that the percentage variance accounted by low-frequency oscillations in streamflow being higher for larger basins which primarily indicates the increased role of climate and basin storage. To develop a fundamental understanding on how basin storage controls the low-frequency oscillations in streamflow, a simple annual hydrological model is employed to explore how the given low-frequency signal in precipitation being modified under different baseflow index conditions and groundwater residence time. Implications of these analyses relating to streamflow predictions and model calibration are also discussed. [ABSTRACT FROM AUTHOR]